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自然言語処理（NLP）市場：コンポーネント（ソリューション＆サービス）、アプリケーション（感情分析、ソーシャルメディアモニタリング）、技術（IVR、OCR、オートコーディング）、業種（BFSI、小売・電子商取引、IT・ITES）、地域別 - 2027年までの世界予測


Natural Language Processing (NLP) Market by Component (Solutions & Services), Application (Sentiment Analysis, Social Media Monitoring), Technology (IVR, OCR, Auto Coding), Vertical (BFSI, Retail & eCommerce, IT & ITES) & Region - Global Forecast to 2027

自然言語処理（NLP）の市場規模は、2022年の157億米ドルから2027年には494億米ドルに拡大し、予測期間中の年間平均成長率（CAGR）は25.7%となる見通しです。リスクの低減や成長機会の特定を目的とした予測分析の... もっと見る

　

　

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自然言語処理（NLP）の市場規模は、2022年の157億米ドルから2027年には494億米ドルに拡大し、予測期間中の年間平均成長率（CAGR）は25.7%となる見通しです。リスクの低減や成長機会の特定を目的とした予測分析のニーズの高まり、クラウドベースのNLPソリューションに対する需要の高まり、ビッグデータ技術の進歩など、さまざまな要因がNLPの採用を促進すると予想されるからです。
NLPは、MLベースの技術を活用してテキストから意味のある洞察を導き出すため、組織は顧客や場所に関連する情報を分析し抽出することができます。さらに、NLPベースのソリューションは、顧客の感情やソーシャルメディアチャネルでの会話をよりよく理解するためのイベントを認識することを可能にします。NLPベースのビジネスアプリケーションは、非構造化音声やオーディオデータから洞察を導き出すために使用され、顧客体験を強化し、全体的な運用コストを削減するために重要な情報を抽出するための可視性をユーザに提供します。
テキストを分析するコンピュータプログラムの進歩、より良いカスタマー・エクスペリエンスを実現するための業務効率化に対する企業ソリューションのニーズの高まり、全体コストの削減と拡張性の向上を目的としたクラウドベースのNLPソリューションに対する需要の高まり、リスクを軽減し成長機会を特定するための予測分析への強い要請、実行可能なビジネスインテリジェンスのためのビッグデータ技術の開発におけるサージ、医療分野における投資の増加といった要因が、NLP市場の成長を促進する要因としてあげられるでしょう。世界中の企業は、ユーザーエクスペリエンスを向上させ、変化する市場環境の中で競争力を維持するために、AIとML技術に熱心に投資しています。

プラットフォームセグメントは、予測期間中に最も高いCAGRを記録する。
ソリューションに基づき、NLP市場はソフトウェアツールとプラットフォームに区分されます。プラットフォームセグメントのCAGRは、予測期間中に最も高くなると推定される。NLP市場のプラットフォームプロバイダーは、音声およびテキストデータを分析するためのAIアプリケーションを作成および展開するためのツールキットをユーザーに提供します。NLPプラットフォームは、ドキュメント検索、テキスト要約、センチメント分析の構築を支援します。マイクロソフトは、NLP技術を使用して、ユーザーにチャットボットの開発、展開、ホスティングを簡単に行う機能を提供するマネージド・ボット構築プラットフォームであるAzureを提供しています。
予測期間中、マネージドサービスが最も高いCAGRを記録する
NLP市場は、サービスに基づいて、プロフェッショナルサービスとマネージドサービスに区分されます。マネージドサービス分野は、予測期間中に高いCAGRで成長すると予想される。マネージドサービスは、主にクライアントエクスペリエンスを扱います。マネージドサービスは、NLPソフトウェアとサービスの保守と更新のための専門スキルを提供します。クライアントのデプロイメント前後の質問とニーズは、すべてマネージドサービスの下でカバーされます。マネージドサービスプロバイダー（MSP）は、サブスクリプションモデルまたはサービスレベル契約（SLA）のもと、NLPプロバイダーのITインフラを管理しサポートを提供する第三者企業で構成されています。
アジア太平洋地域が予測期間中、最も高いCAGRを維持
アジア太平洋地域のNLP市場は、同地域における工業化の進展により、予測期間中に最も高いCAGRで成長すると予想されます。中国、日本、インドなどの国々は、高度なAI技術を活用しており、NLPは主要な産業分野で採用されている主要な技術動向の1つとなっています。IBM、Google、AWSは、この地域の市場で事業を展開している主要ベンダーであり、その他にもいくつかの重要なNLPソリューションおよびサービスプロバイダーが存在します。BFSI、旅行、ホスピタリティ、小売など、さまざまな業種の企業によるAI技術の採用は、アジア太平洋地域のNLP市場の成長に貢献すると予想されます。
プライマリーの内訳
NLP市場で事業を展開する様々な主要組織の最高経営責任者（CEO）、イノベーション・技術責任者、システムインテグレーター、経営幹部に対して、詳細なインタビューを実施しました。
企業別ではティアI：35％、ティアII：45％、ティアIII：20
役職別C-Level Executives:役職別：C-Level Executive 35%、D-Level Executive 25%、Managers 40
地域別APAC: 25%, ヨーロッパ: 30%, 北米: 30%, MEA: 10%, ラテンアメリカ: 5
本レポートでは、NLPのソリューションやサービスを提供する主要企業の調査も行っています。NLP市場の主要ベンダーのプロフィールを掲載しています。NLP市場の主要プレイヤーは、IBM（米国）、Microsoft（米国）、Google（米国）、AWS（米国）、Meta（米国）、3M（米国）、Baidu（中国）、Apple（米国）、SAS Institute（米国）、IQVIA（英国）、Oracle（米国）、Inbenta（米国）、です。ヘルスフィデリティ（米）、ライブパーソン（米）、サウンドハウンド（米）、マインドメルド（米）、ベリトーン（米）、ドルビー（米）、オートメイテッドインサイト（米）、バイトクスト（米）、コンバーシカ（米）、アドプト（米）、ラガベラー（インド）、オブザーブ．ai（米国）、Eigen（米国）、Gnani.ai（インド）、Crayon Data（シンガポール）、Narrativa（米国）、deepset（米国）、Ellipsis Health（米国）、DheeYantra（米国）となっている。
調査対象範囲
本市場調査は、セグメントにわたるNLP市場を対象としています。コンポーネント、タイプ、展開モード、組織規模、アプリケーション、技術、業種、地域など、さまざまなセグメントにわたる市場規模およびこの市場の成長可能性を推定することを目的としています。また、市場の主要企業の詳細な競合分析、企業プロファイル、製品および事業の提供に関する主な見解、最近の開発、主要な市場戦略も掲載しています。
本レポートを購入する主な利点
本レポートは、本市場の市場リーダー/新規参入者に、NLP市場全体とそのサブセグメントにおける収益数の最も近い概算に関する情報を提供するものと思われます。本レポートは、ステークホルダーが競争環境を理解し、自社のビジネスを位置づけ、適切な市場参入戦略を計画するためのより良い洞察を得るのに役立つことでしょう。また、利害関係者が市場の脈動を理解するのに役立ち、主要な市場促進要因、阻害要因、課題、機会に関する情報を提供します。

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目次

1 INTRODUCTION 46
1.1 OBJECTIVES 46
1.2 MARKET DEFINITION 46
1.2.1 INCLUSIONS AND EXCLUSIONS 47
1.3 MARKET SCOPE 48
1.3.1 MARKET SEGMENTATION 48
1.3.2 REGIONS COVERED 49
1.3.3 YEARS CONSIDERED 49
1.4 CURRENCY CONSIDERED 50
TABLE 1 USD EXCHANGE RATES, 2018–2020 50
1.5 STAKEHOLDERS 50
1.6 SUMMARY OF CHANGES 51
2 RESEARCH METHODOLOGY 52
2.1 RESEARCH DATA 52
FIGURE 1 NATURAL LANGUAGE PROCESSING MARKET: RESEARCH DESIGN 52
2.1.1 SECONDARY DATA 53
2.1.2 PRIMARY DATA 53
TABLE 2 PRIMARY INTERVIEWS 53
2.1.2.1 Breakup of primary profiles 54
2.1.2.2 Key industry insights 54
2.2 DATA TRIANGULATION 55
FIGURE 2 DATA TRIANGULATION 55
2.3 MARKET SIZE ESTIMATION 56
FIGURE 3 NLP MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES 56
2.3.1 TOP-DOWN APPROACH 56
2.3.2 BOTTOM-UP APPROACH 57
FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 1 (SUPPLY-SIDE): FLOWCHART USING REVENUE FROM NLP SOLUTIONS/SERVICES 57
FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 2, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL NLP SOLUTION/ SERVICE COMPANIES 58
FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 3, BOTTOM-UP (SUPPLY-SIDE): REVENUES OF TOP PLAYERS AND SOURCES OF DATA 59
FIGURE 7 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 4, BOTTOM-UP (DEMAND-SIDE): SHARE THROUGH OVERALL NLP SPENDING 59
2.4 MARKET FORECAST 60
TABLE 3 FACTOR ANALYSIS 60
2.5 KEY COMPANY EVALUATION MATRIX METHODOLOGY 61
FIGURE 8 COMPANY EVALUATION MATRIX: CRITERIA WEIGHTAGE 61
2.6 STARTUP/SME EVALUATION MATRIX METHODOLOGY 62
FIGURE 9 STARTUP/SME EVALUATION MATRIX: CRITERIA WEIGHTAGE 62
2.7 ASSUMPTIONS 63
2.8 LIMITATIONS 64
3 EXECUTIVE SUMMARY 65
TABLE 4 NATURAL LANGUAGE PROCESSING MARKET SIZE AND GROWTH RATE, 2016–2021 (USD MILLION, Y-O-Y) 67
TABLE 5 NATURAL LANGUAGE PROCESSING MARKET SIZE AND GROWTH RATE, 2022–2027 (USD MILLION, Y-O-Y) 67
FIGURE 10 NATURAL LANGUAGE PROCESSING SOLUTIONS TO BE A LARGER MARKET IN 2022 67
FIGURE 11 SOFTWARE TOOLS TO ACCOUNT FOR A GREATER SHARE AMONG SOLUTIONS IN 2022 68
FIGURE 12 PROFESSIONAL SERVICES TO ACCOUNT FOR A LARGER SERVICE MARKET IN 2022 68
FIGURE 13 SYSTEM INTEGRATION & IMPLEMENTATION TO ACCOUNT FOR THE LARGEST PROFESSIONAL SERVICE SHARE IN 2022 68
FIGURE 14 STATISTICAL TYPE TO ACCOUNT FOR THE LARGEST MARKET IN 2022 69
FIGURE 15 IVR TECHNOLOGY TO ACCOUNT FOR THE HIGHEST MARKET SHARE IN 2022 69
FIGURE 16 TEXT CLASSIFICATION & SUMMARIZATION TO ACCOUNT FOR THE LARGEST APPLICATION IN 2022 69
FIGURE 17 CLOUD DEPLOYMENT TO BE A LARGER MARKET IN 2022 70
FIGURE 18 LARGE ENTERPRISES TO BE A LARGER MARKET IN 2022 70
FIGURE 19 BFSI VERTICAL TO ACCOUNT FOR THE LARGEST MARKET SHARE IN 2022 70
FIGURE 20 ASIA PACIFIC TO GROW AT THE HIGHEST CAGR IN THE NATURAL LANGUAGE PROCESSING MARKET 71
4 PREMIUM INSIGHTS 72
4.1 ATTRACTIVE OPPORTUNITIES IN THE NATURAL LANGUAGE PROCESSING MARKET 72
FIGURE 21 SURGING DEMAND FOR CLOUD-BASED NLP SOLUTIONS TO REDUCE OVERALL COSTS AND ENHANCE SCALABILITY 72
4.2 NATURAL LANGUAGE PROCESSING MARKET: TOP 3 APPLICATIONS 72
FIGURE 22 EMPLOYEE ONBOARDING & RECRUITING APPLICATION TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD 72
4.3 NATURAL LANGUAGE PROCESSING MARKET: BY COMPONENT & KEY VERTICAL 73
FIGURE 23 SOLUTIONS AND BFSI VERTICAL TO ACCOUNT FOR THE LARGEST SHARES RESPECTIVELY IN 2022 73
4.4 NATURAL LANGUAGE PROCESSING MARKET: BY REGION 73
FIGURE 24 NORTH AMERICA TO ACCOUNT FOR THE LARGEST SHARE IN 2022 73
5 MARKET OVERVIEW AND INDUSTRY TRENDS 74
5.1 INTRODUCTION 74
5.2 NATURAL LANGUAGE PROCESSING: EVOLUTION 74
FIGURE 25 NATURAL LANGUAGE PROCESSING MARKET EVOLUTION 74
5.3 NATURAL LANGUAGE PROCESSING: ARCHITECTURE 75
FIGURE 26 NATURAL LANGUAGE PROCESSING MARKET ARCHITECTURE 75
5.4 MARKET DYNAMICS 76
FIGURE 27 MARKET DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES 76
5.4.1 DRIVERS 77
5.4.1.1 Advancements in computer programs that analyze text 77
5.4.1.2 Rise in need for enterprise solutions to streamline business operations for better customer experience 77
5.4.1.3 Surging demand for cloud-based NLP solutions to reduce overall costs and enhance scalability 77
5.4.1.4 Greater urge for predictive analytics to reduce risks and identify growth opportunities 77
5.4.2 RESTRAINTS 78
5.4.2.1 Lack of contextual understanding leading to ambiguity 78
5.4.2.2 Complexities due to the usage of code-mixed language while implementing NLP solutions 78
5.4.2.3 Limitations in the development of NLP technology using neural networks that may restrict the usage of cloud-based services 79
5.4.3 OPPORTUNITIES 79
5.4.3.1 Surge in the developments of big data technology for actionable business intelligence 79
5.4.3.2 Increase in investments across healthcare 79
5.4.4 CHALLENGES 80
5.4.4.1 Regulatory and privacy concerns over data security 80
5.4.4.2 Interoperability and reliability issues while deploying NLP algorithms 80
5.4.5 CUMULATIVE GROWTH ANALYSIS 81
5.5 VALUE CHAIN ANALYSIS 81
FIGURE 28 NATURAL LANGUAGE PROCESSING MARKET: VALUE CHAIN ANALYSIS 81
5.6 SUPPLY CHAIN ANALYSIS 82
FIGURE 29 NATURAL LANGUAGE PROCESSING MARKET: SUPPLY CHAIN ANALYSIS 82
TABLE 6 NATURAL LANGUAGE PROCESSING MARKET: SUPPLY CHAIN 83
5.7 CASE STUDY ANALYSIS 84
5.7.1 BANKING, FINANCIAL SERVICES, AND INSURANCE 84
5.7.1.1 Case Study 1: National Bank of Greece Transformed with SAS Viya on Azure 84
5.7.1.2 Case Study 2: HSBC implemented LivePerson’s conversational AI solutions with intelligent automation 85
5.7.2 HEALTHCARE & LIFE SCIENCES 85
5.7.2.1 Case Study 3: Value-based care at Atrius Health with Linguamatics 85
5.7.2.2 Case Study 4: Huntsman Cancer Institute optimized research with Linguamatics NLP platform 86
5.7.2.3 Case Study 5: Humana, a leading health insurance provider, reduced costly pre-service calls with conversational AI 86
5.7.3 IT & ITES 87
5.7.3.1 Case Study 6: Telenor adapts to rapidly changing customer expectations using a hybrid cloud approach 87
5.7.4 RETAIL & ECOMMERCE 88
5.7.4.1 Case Study 7: schuh stepped up customer experience with AWS 88
5.7.5 GOVERNMENT & PUBLIC SECTOR 88
5.7.5.1 Case Study 8: Smart city uses analytics and IoT to predict and manage flood events 88
5.7.6 MEDIA & ENTERTAINMENT 89
5.7.6.1 Case Study 9: The Associated Press used NLG to automate NCAA Division I men’s basketball previews during the 2018 season 89
5.7.6.2 Case Study 10: Yahoo! Sports uses NLG to produce over 70 million reports and match recaps 90
5.7.7 TRAVEL & HOSPITALITY 91
5.7.7.1 Case Study 11: SAS gives Foxwoods Resort Casino a holistic view of resort operations 91
5.8 ECOSYSTEM 92
FIGURE 30 NATURAL LANGUAGE PROCESSING MARKET: ECOSYSTEM 92
5.9 TRENDS/DISRUPTIONS IMPACTING BUYERS/CLIENTS OF THE NLP MARKET 93
FIGURE 31 NATURAL LANGUAGE PROCESSING MARKET: TRENDS/DISRUPTIONS IMPACTING BUYERS/CLIENTS 93
5.10 TECHNOLOGY ANALYSIS 93
5.10.1 ARTIFICIAL INTELLIGENCE 93
5.10.2 DEEP LEARNING 94
5.10.3 BIG DATA 94
5.10.4 BLOCKCHAIN 94
5.10.5 CYBERSECURITY 94
5.10.6 IOT 95
5.11 PATENT ANALYSIS 95
5.11.1 METHODOLOGY 95
5.11.2 DOCUMENT TYPE 95
TABLE 7 PATENTS FILED, 2018–2021 95
5.11.3 INNOVATION AND PATENT APPLICATIONS 95
FIGURE 32 ANNUAL NUMBER OF PATENTS GRANTED, 2018–2021 96
5.11.4 TOP APPLICANTS 96
FIGURE 33 TOP 10 PATENT APPLICANTS, 2019–2022 96
5.12 PORTER’S FIVE FORCES ANALYSIS 97
TABLE 8 IMPACT OF EACH FORCE ON THE NATURAL LANGUAGE PROCESSING MARKET 97
FIGURE 34 PORTER’S FIVE FORCES ANALYSIS 98
5.12.1 THREAT FROM NEW ENTRANTS 98
5.12.2 THREAT FROM SUBSTITUTES 99
5.12.3 BARGAINING POWER OF SUPPLIERS 99
5.12.4 BARGAINING POWER OF BUYERS 99
5.12.5 INTENSITY OF COMPETITIVE RIVALRY 99
5.13 REGULATORY IMPLICATIONS 100
5.13.1 GENERAL DATA PROTECTION REGULATION 100
5.13.2 HEALTH INSURANCE PORTABILITY AND ACCOUNTABILITY ACT 100
5.13.3 PAYMENT CARD INDUSTRY DATA SECURITY STANDARD 100
5.13.4 SARBANES-OXLEY ACT OF 2002 100
5.13.5 SOC 2 TYPE II COMPLIANCE 101
5.13.6 ISO/IEC 27001 101
5.13.7 THE GRAMM–LEACH–BLILEY ACT 101
5.13.8 EUROPEAN UNION DATA PROTECTION REGULATION 101
5.13.9 CAN-SPAM ACT 101
5.14 TARIFF AND REGULATORY LANDSCAPE 102
5.14.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 102
TABLE 9 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 102
TABLE 10 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 102
TABLE 11 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 103
TABLE 12 MIDDLE EAST & AFRICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 103
TABLE 13 LATIN AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 104
5.15 PRICING ANALYSIS 104
TABLE 14 AVERAGE SELLING PRICE RANGES OF SUBSCRIPTION-BASED/PAY-AS-YOU-GO NLP SERVICES 105
5.16 KEY STAKEHOLDERS & BUYING CRITERIA 105
5.16.1 KEY STAKEHOLDERS IN BUYING PROCESS 105
FIGURE 35 INFLUENCE OF STAKEHOLDERS IN BUYING PROCESS FOR TOP THREE APPLICATIONS 105
TABLE 15 INFLUENCE OF STAKEHOLDERS IN BUYING PROCESS FOR TOP THREE APPLICATIONS 106
5.16.2 BUYING CRITERIA 106
FIGURE 36 KEY BUYING CRITERIA FOR TOP THREE APPLICATIONS 106
TABLE 16 KEY BUYING CRITERIA FOR TOP THREE APPLICATIONS 106
6 NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT 107
6.1 INTRODUCTION 108
6.1.1 COMPONENT: MARKET DRIVERS 108
FIGURE 37 NATURAL LANGUAGE PROCESSING SOLUTIONS TO BE A LARGER MARKET DURING THE FORECAST PERIOD 109
TABLE 17 NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2016–2021 (USD MILLION) 109
TABLE 18 NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2022–2027 (USD MILLION) 109
6.2 SOLUTIONS 110
TABLE 19 NATURAL LANGUAGE PROCESSING SOLUTIONS MARKET, BY TYPE, 2016–2021 (USD MILLION) 110
TABLE 20 NATURAL LANGUAGE PROCESSING SOLUTIONS MARKET, BY TYPE, 2022–2027 (USD MILLION) 110
TABLE 21 NATURAL LANGUAGE PROCESSING SOLUTIONS MARKET, BY REGION, 2016–2021 (USD MILLION) 110
TABLE 22 NATURAL LANGUAGE PROCESSING SOLUTIONS MARKET, BY REGION, 2022–2027 (USD MILLION) 111
6.2.1 PLATFORMS 111
TABLE 23 NATURAL LANGUAGE PROCESSING PLATFORMS MARKET, BY REGION, 2016–2021 (USD MILLION) 111
TABLE 24 NATURAL LANGUAGE PROCESSING PLATFORMS MARKET, BY REGION, 2022–2027 (USD MILLION) 112
6.2.2 SOFTWARE TOOLS 112
TABLE 25 NATURAL LANGUAGE PROCESSING SOFTWARE TOOLS MARKET, BY REGION, 2016–2021 (USD MILLION) 112
TABLE 26 NATURAL LANGUAGE PROCESSING SOFTWARE TOOLS MARKET, BY REGION, 2022–2027 (USD MILLION) 113
6.3 SERVICES 113
FIGURE 38 MANAGED SERVICES TO RECORD HIGHER CAGR DURING FORECAST PERIOD 113
TABLE 27 NATURAL LANGUAGE PROCESSING SERVICES MARKET, BY TYPE, 2016–2021 (USD MILLION) 114
TABLE 28 NATURAL LANGUAGE PROCESSING SERVICES MARKET, BY TYPE, 2022–2027 (USD MILLION) 114
6.3.1 PROFESSIONAL SERVICES 114
FIGURE 39 TRAINING & CONSULTING SERVICES TO BE FASTEST-GROWING DURING FORECAST PERIOD 115
TABLE 29 PROFESSIONAL NATURAL LANGUAGE PROCESSING SERVICES MARKET, BY TYPE, 2016–2021 (USD MILLION) 115
TABLE 30 PROFESSIONAL NATURAL LANGUAGE PROCESSING SERVICES MARKET, BY TYPE, 2022–2027 (USD MILLION) 115
TABLE 31 PROFESSIONAL SERVICES: NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2016–2021 (USD MILLION) 116
TABLE 32 PROFESSIONAL NATURAL LANGUAGE PROCESSING SERVICES MARKET, BY REGION, 2022–2027 (USD MILLION) 116
6.3.1.1 Training & Consulting 116
TABLE 33 NATURAL LANGUAGE PROCESSING TRAINING & CONSULTING SERVICES MARKET, BY REGION, 2016–2021 (USD MILLION) 117
TABLE 34 NATURAL LANGUAGE PROCESSING TRAINING & CONSULTING SERVICES MARKET, BY REGION, 2022–2027 (USD MILLION) 117
6.3.1.2 System Integration & Implementation 117
TABLE 35 NATURAL LANGUAGE PROCESSING SYSTEM INTEGRATION & IMPLEMENTATION SERVICES MARKET, BY REGION, 2016–2021 (USD MILLION) 117
TABLE 36 NATURAL LANGUAGE PROCESSING SYSTEM INTEGRATION & IMPLEMENTATION SERVICES MARKET, BY REGION, 2022–2027 (USD MILLION) 118
6.3.1.3 Support & Maintenance 118
TABLE 37 NATURAL LANGUAGE PROCESSING SUPPORT & MAINTENANCE SERVICES MARKET, BY REGION, 2016–2021 (USD MILLION) 118
TABLE 38 NATURAL LANGUAGE PROCESSING SUPPORT & MAINTENANCE SERVICES MARKET, BY REGION, 2022–2027(USD MILLION) 119
6.3.2 MANAGED SERVICES 119
TABLE 39 MANAGED NATURAL LANGUAGE PROCESSING SERVICES MARKET, BY REGION, 2016–2021 (USD MILLION) 119
TABLE 40 MANAGED NATURAL LANGUAGE PROCESSING SERVICES MARKET, BY REGION, 2022–2027(USD MILLION) 120
7 NATURAL LANGUAGE PROCESSING MARKET, BY TYPE 121
7.1 INTRODUCTION 122
7.1.1 TYPE: MARKET DRIVERS 122
FIGURE 40 HYBRID NATURAL LANGUAGE PROCESSING TO WITNESS HIGHEST CAGR DURING FORECAST PERIOD 122
TABLE 41 NATURAL LANGUAGE PROCESSING MARKET, BY TYPE, 2016–2021 (USD MILLION) 123
TABLE 42 NATURAL LANGUAGE PROCESSING MARKET, BY TYPE, 2022–2027 (USD MILLION) 123
7.2 RULE-BASED 123
TABLE 43 RULED-BASED NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2016–2021 (USD MILLION) 123
TABLE 44 RULED-BASED NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2022–2027 (USD MILLION) 124
7.3 STATISTICAL 124
TABLE 45 STATISTICAL NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2016–2021 (USD MILLION) 124
TABLE 46 STATISTICAL NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2022–2027 (USD MILLION) 125
7.4 HYBRID 125
TABLE 47 HYBRID NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2016–2021 (USD MILLION) 125
TABLE 48 HYBRID NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2022–2027 (USD MILLION) 126
8 NATURAL LANGUAGE PROCESSING MARKET, BY DEPLOYMENT MODE 127
8.1 INTRODUCTION 128
8.1.1 DEPLOYMENT MODE: MARKET DRIVERS 128
FIGURE 41 ON-PREMISE DEPLOYMENT TO EXPERIENCE HIGHER CAGR DURING FORECAST PERIOD 128
TABLE 49 NATURAL LANGUAGE PROCESSING MARKET, BY DEPLOYMENT MODE, 2016–2021 (USD MILLION) 129
TABLE 50 NATURAL LANGUAGE PROCESSING MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION) 129
8.2 ON-PREMISES 129
TABLE 51 ON-PREMISES DEPLOYMENT MARKET, BY REGION, 2016–2021 (USD MILLION) 129
TABLE 52 ON-PREMISES DEPLOYMENT MARKET, BY REGION, 2022–2027 (USD MILLION) 130
8.3 CLOUD 130
TABLE 53 CLOUD DEPLOYMENT MARKET, BY REGION, 2016–2021 (USD MILLION) 130
TABLE 54 CLOUD DEPLOYMENT MARKET, BY REGION, 2022–2027 (USD MILLION) 131
9 NATURAL LANGUAGE PROCESSING MARKET, BY ORGANIZATION SIZE 132
9.1 INTRODUCTION 133
9.1.1 ORGANIZATION SIZE: NATURAL LANGUAGE PROCESSING MARKET DRIVERS 133
FIGURE 42 SMALL & MEDIUM-SIZED ENTERPRISES TO WITNESS HIGHER CAGR DURING FORECAST PERIOD 133
TABLE 55 NATURAL LANGUAGE PROCESSING MARKET, BY ORGANIZATION SIZE, 2016–2021 (USD MILLION) 134
TABLE 56 NATURAL LANGUAGE PROCESSING MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION) 134
9.2 SMALL & MEDIUM-SIZED ENTERPRISES 134
TABLE 57 SMALL & MEDIUM-SIZED ENTERPRISES: NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2016–2021 (USD MILLION) 135
TABLE 58 SMALL & MEDIUM-SIZED ENTERPRISES: NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2022–2027 (USD MILLION) 135
9.3 LARGE ENTERPRISES 135
TABLE 59 LARGE ENTERPRISES MARKET, BY REGION, 2016–2021 (USD MILLION) 136
TABLE 60 LARGE ENTERPRISES MARKET, BY REGION, 2022–2027(USD MILLION) 136
10 NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION 137
10.1 INTRODUCTION 138
10.1.1 APPLICATION: MARKET DRIVERS 138
FIGURE 43 EMPLOYEE ONBOARDING & RECRUITING TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD 139
TABLE 61 NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION, 2016–2021 (USD MILLION) 139
TABLE 62 NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION, 2022–2027 (USD MILLION) 140
10.2 CUSTOMER EXPERIENCE MANAGEMENT 140
TABLE 63 CUSTOMER EXPERIENCE MANAGEMENT MARKET, BY REGION, 2016–2021 (USD MILLION) 141
TABLE 64 CUSTOMER EXPERIENCE MANAGEMENT MARKET, BY REGION, 2022–2027 (USD MILLION) 141
10.3 VIRTUAL ASSISTANTS/CHATBOTS 141
TABLE 65 VIRTUAL ASSISTANTS/CHATBOTS MARKET, BY REGION, 2016–2021 (USD MILLION) 142
TABLE 66 VIRTUAL ASSISTANTS/CHATBOTS MARKET, BY REGION, 2022–2027 (USD MILLION) 142
10.4 SOCIAL MEDIA MONITORING 142
TABLE 67 SOCIAL MEDIA MONITORING MARKET, BY REGION, 2016–2021 (USD MILLION) 143
TABLE 68 SOCIAL MEDIA MONITORING MARKET, BY REGION, 2022–2027 (USD MILLION) 143
10.5 SENTIMENT ANALYSIS 143
TABLE 69 SENTIMENT ANALYSIS MARKET, BY REGION, 2016–2021 (USD MILLION) 144
TABLE 70 SENTIMENT ANALYSIS MARKET, BY REGION, 2022–2027 (USD MILLION) 144
10.6 TEXT CLASSIFICATION & SUMMARIZATION 144
TABLE 71 TEXT CLASSIFICATION & SUMMARIZATION MARKET, BY REGION, 2016–2021 (USD MILLION) 145
TABLE 72 TEXT CLASSIFICATION & SUMMARIZATION MARKET, BY REGION, 2022–2027 (USD MILLION) 145
10.7 EMPLOYEE ONBOARDING & RECRUITING 145
TABLE 73 EMPLOYEE ONBOARDING & RECRUITING MARKET, BY REGION, 2016–2021 (USD MILLION) 146
TABLE 74 EMPLOYEE ONBOARDING & RECRUITING MARKET, BY REGION, 2022–2027 (USD MILLION) 146
10.8 OTHER APPLICATIONS 146
TABLE 75 OTHER APPLICATIONS MARKET, BY REGION, 2016–2021 (USD MILLION) 147
TABLE 76 OTHER APPLICATIONS MARKET, BY REGION, 2022–2027 (USD MILLION) 147
11 NATURAL LANGUAGE PROCESSING MARKET, BY TECHNOLOGY 148
11.1 INTRODUCTION 149
11.1.1 TECHNOLOGY: MARKET DRIVERS 149
FIGURE 44 IMAGE & PATTERN RECOGNITION SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 149
TABLE 77 NATURAL LANGUAGE PROCESSING MARKET, BY TECHNOLOGY, 2016–2021 (USD MILLION) 150
TABLE 78 NATURAL LANGUAGE PROCESSING MARKET, BY TECHNOLOGY, 2022–2027 (USD MILLION) 150
11.2 OPTICAL CHARACTER RECOGNITION 150
TABLE 79 OPTICAL CHARACTER RECOGNITION MARKET, BY REGION, 2016–2021 (USD MILLION) 151
TABLE 80 OPTICAL CHARACTER RECOGNITION MARKET, BY REGION, 2022–2027 (USD MILLION) 151
11.3 INTERACTIVE VOICE RESPONSE 151
TABLE 81 INTERACTIVE VOICE RESPONSE MARKET, BY REGION, 2016–2021 (USD MILLION) 152
TABLE 82 INTERACTIVE VOICE RESPONSE MARKET, BY REGION, 2022–2027 (USD MILLION) 152
11.4 AUTO CODING 152
TABLE 83 AUTO CODING MARKET, BY REGION, 2016–2021 (USD MILLION) 153
TABLE 84 AUTO CODING MARKET, BY REGION, 2022–2027 (USD MILLION) 153
11.5 TEXT ANALYTICS 153
TABLE 85 TEXT ANALYTICS MARKET, BY REGION, 2016–2021 (USD MILLION) 154
TABLE 86 TEXT ANALYTICS MARKET, BY REGION, 2022–2027 (USD MILLION) 154
11.6 SPEECH ANALYTICS 154
TABLE 87 SPEECH ANALYTICS MARKET, BY REGION, 2016–2021 (USD MILLION) 155
TABLE 88 SPEECH ANALYTICS MARKET, BY REGION, 2022–2027 (USD MILLION) 155
11.7 IMAGE & PATTERN RECOGNITION 155
TABLE 89 IMAGE & PATTERN RECOGNITION MARKET, BY REGION, 2016–2021 (USD MILLION) 156
TABLE 90 IMAGE & PATTERN RECOGNITION MARKET, BY REGION, 2022–2027 (USD MILLION) 156
11.8 SIMULATION & MODELING 156
TABLE 91 SIMULATION & MODELING MARKET, BY REGION, 2016–2021 (USD MILLION) 157
TABLE 92 SIMULATION & MODELING MARKET, BY REGION, 2022–2027 (USD MILLION) 157
12 NATURAL LANGUAGE PROCESSING MARKET, BY VERTICAL 158
12.1 INTRODUCTION 159
12.1.1 VERTICAL: NATURAL LANGUAGE PROCESSING MARKET DRIVERS 159
TABLE 93 MAJOR USE CASES, BY VERTICAL 160
FIGURE 45 HEALTHCARE & LIFE SCIENCES VERTICAL TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD 161
TABLE 94 NATURAL LANGUAGE PROCESSING MARKET, BY VERTICAL, 2016–2021 (USD MILLION) 162
TABLE 95 NATURAL LANGUAGE PROCESSING MARKET, BY VERTICAL, 2022–2027 (USD MILLION) 162
12.2 BANKING, FINANCIAL SERVICES, AND INSURANCE 163
TABLE 96 BANKING, FINANCIAL SERVICES, AND INSURANCE VERTICAL MARKET, BY REGION, 2016–2021 (USD MILLION) 163
TABLE 97 BANKING, FINANCIAL SERVICES, AND INSURANCE VERTICAL MARKET, BY REGION, 2022–2027 (USD MILLION) 163
12.3 IT & ITES 164
TABLE 98 IT & ITES VERTICAL MARKET, BY REGION, 2016–2021 (USD MILLION) 164
TABLE 99 IT & ITES VERTICAL MARKET, BY REGION, 2022–2027 (USD MILLION) 164
12.4 RETAIL & ECOMMERCE 165
TABLE 100 RETAIL & ECOMMERCE VERTICAL MARKET, BY REGION, 2016–2021 (USD MILLION) 165
TABLE 101 RETAIL & ECOMMERCE VERTICALS MARKET, BY REGION, 2022–2027 (USD MILLION) 165
12.5 HEALTHCARE & LIFE SCIENCES 166
TABLE 102 HEALTHCARE & LIFE SCIENCES VERTICAL MARKET, BY REGION, 2016–2021 (USD MILLION) 166
TABLE 103 HEALTHCARE & LIFE SCIENCES VERTICAL MARKET, BY REGION, 2022–2027 (USD MILLION) 166
12.6 TRANSPORTATION & LOGISTICS 167
TABLE 104 TRANSPORTATION & LOGISTICS VERTICAL MARKET, BY REGION, 2016–2021 (USD MILLION) 167
TABLE 105 TRANSPORTATION & LOGISTICS VERTICAL MARKET, BY REGION, 2022–2027 (USD MILLION) 167
12.7 GOVERNMENT & PUBLIC SECTOR 168
TABLE 106 GOVERNMENT & PUBLIC SECTOR VERTICAL MARKET, BY REGION, 2016–2021 (USD MILLION) 168
TABLE 107 GOVERNMENT & PUBLIC SECTOR VERTICAL MARKET, BY REGION, 2022–2027 (USD MILLION) 168
12.8 MEDIA & ENTERTAINMENT 169
TABLE 108 MEDIA & ENTERTAINMENT VERTICAL MARKET, BY REGION, 2016–2021 (USD MILLION) 169
TABLE 109 MEDIA & ENTERTAINMENT VERTICAL MARKET, BY REGION, 2022–2027 (USD MILLION) 169
12.9 MANUFACTURING 170
TABLE 110 MANUFACTURING VERTICAL MARKET, BY REGION, 2016–2021 (USD MILLION) 170
TABLE 111 MANUFACTURING VERTICAL MARKET, BY REGION, 2022–2027 (USD MILLION) 170
12.10 OTHER VERTICALS 171
TABLE 112 OTHER VERTICALS MARKET, BY REGION, 2016–2021 (USD MILLION) 171
TABLE 113 OTHER VERTICALS MARKET, BY REGION, 2022–2027 (USD MILLION) 171
13 NATURAL LANGUAGE PROCESSING MARKET, BY REGION 172
13.1 INTRODUCTION 173
FIGURE 46 NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2022 VS. 2027 (USD MILLION) 173
FIGURE 47 INDIA TO BE FASTEST-GROWING DURING FORECAST PERIOD 174
TABLE 114 NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2016–2021 (USD MILLION) 174
TABLE 115 NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2022–2027 (USD MILLION) 174
13.2 NORTH AMERICA 175
13.2.1 NORTH AMERICA: MARKET DRIVERS 175
13.2.2 NORTH AMERICA: REGULATIONS 176
13.2.2.1 Personal Information Protection and Electronic Documents Act (PIPEDA) 176
13.2.2.2 Gramm–Leach–Bliley Act 176
13.2.2.3 Federal Information Security Management Act 176
13.2.2.4 Health Insurance Portability and Accountability Act of 1996 176
13.2.2.5 Health Level Seven (HL7) 177
13.2.2.6 Occupational Safety and Health Administration (OSHA) 177
13.2.2.7 California Consumer Privacy Act 177
FIGURE 48 NORTH AMERICA: MARKET SNAPSHOT 178
TABLE 116 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2016–2021 (USD MILLION) 178
TABLE 117 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2022–2027 (USD MILLION) 179
TABLE 118 NORTH AMERICA: NATURAL LANGUAGE PROCESSING SOLUTIONS MARKET, BY TYPE, 2016–2021 (USD MILLION) 179
TABLE 119 NORTH AMERICA: NATURAL LANGUAGE PROCESSING SOLUTIONS MARKET, BY TYPE, 2022–2027 (USD MILLION) 179
TABLE 120 NORTH AMERICA: NATURAL LANGUAGE PROCESSING SERVICES MARKET, BY TYPE, 2016–2021 (USD MILLION) 179
TABLE 121 NORTH AMERICA: NATURAL LANGUAGE PROCESSING SERVICES MARKET, BY TYPE, 2022–2027 (USD MILLION) 180
TABLE 122 NORTH AMERICA: PROFESSIONAL NATURAL LANGUAGE PROCESSING SERVICES MARKET, BY TYPE, 2016–2021 (USD MILLION) 180
TABLE 123 NORTH AMERICA: PROFESSIONAL NATURAL LANGUAGE PROCESSING SERVICES MARKET, BY TYPE, 2022–2027 (USD MILLION) 180
TABLE 124 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY TYPE, 2016–2021 (USD MILLION) 181
TABLE 125 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY TYPE, 2022–2027 (USD MILLION) 181
TABLE 126 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY DEPLOYMENT MODE, 2016–2021 (USD MILLION) 181
TABLE 127 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION) 181
TABLE 128 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY ORGANIZATION SIZE, 2016–2021 (USD MILLION) 182
TABLE 129 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION) 182
TABLE 130 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION, 2016–2021 (USD MILLION) 182
TABLE 131 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION, 2022–2027 (USD MILLION) 183
TABLE 132 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY TECHNOLOGY, 2016–2021 (USD MILLION) 183
TABLE 133 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION, 2022–2027 (USD MILLION) 184
TABLE 134 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY VERTICAL, 2016–2021 (USD MILLION) 184
TABLE 135 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY VERTICAL, 2022–2027 (USD MILLION) 185
TABLE 136 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY COUNTRY, 2016–2021 (USD MILLION) 185
TABLE 137 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY COUNTRY, 2022–2027 (USD MILLION) 185
13.2.3 US 186
TABLE 138 US: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2016–2021 (USD MILLION) 186
TABLE 139 US: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2022–2027 (USD MILLION) 186
13.2.4 CANADA 187
TABLE 140 CANADA: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2016–2021 (USD MILLION) 187
TABLE 141 CANADA: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2022–2027 (USD MILLION) 187
13.3 EUROPE 188
13.3.1 EUROPE: MARKET DRIVERS 188
13.3.2 EUROPE: REGULATIONS 189
13.3.2.1 European Market Infrastructure Regulation 189
13.3.2.2 General Data Protection Regulation 189
13.3.2.3 European Committee for Standardization 189
13.3.2.4 European Technical Standards Institute 189
TABLE 142 EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2016–2021 (USD MILLION) 189
TABLE 143 EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2022–2027 (USD MILLION) 190
TABLE 144 EUROPE: NATURAL LANGUAGE PROCESSING SOLUTIONS MARKET, BY TYPE, 2016–2021 (USD MILLION) 190
TABLE 145 EUROPE: NATURAL LANGUAGE PROCESSING SOLUTIONS MARKET, BY TYPE, 2022–2027 (USD MILLION) 190
TABLE 146 EUROPE: NATURAL LANGUAGE PROCESSING SERVICES MARKET, BY TYPE, 2016–2021 (USD MILLION) 190
TABLE 147 EUROPE: NATURAL LANGUAGE PROCESSING SERVICES MARKET, BY TYPE, 2022–2027 (USD MILLION) 191
TABLE 148 EUROPE: PROFESSIONAL NATURAL LANGUAGE PROCESSING SERVICES MARKET, BY TYPE, 2016–2021 (USD MILLION) 191
TABLE 149 EUROPE: PROFESSIONAL NATURAL LANGUAGE PROCESSING SERVICES MARKET, BY TYPE, 2022–2027 (USD MILLION) 191
TABLE 150 EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY TYPE, 2016–2021 (USD MILLION) 192
TABLE 151 EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY TYPE, 2022–2027 (USD MILLION) 192
TABLE 152 EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY DEPLOYMENT MODE, 2016–2021 (USD MILLION) 192
TABLE 153 EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION) 192
TABLE 154 EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY ORGANIZATION SIZE, 2016–2021 (USD MILLION) 193
TABLE 155 EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION) 193
TABLE 156 EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION, 2016–2021 (USD MILLION) 193
TABLE 157 EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION, 2022–2027 (USD MILLION) 194
TABLE 158 EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY TECHNOLOGY, 2016–2021 (USD MILLION) 194
TABLE 159 EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION, 2022–2027 (USD MILLION) 195
TABLE 160 EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY VERTICAL, 2016–2021 (USD MILLION) 195
TABLE 161 EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY VERTICAL, 2022–2027 (USD MILLION) 196
TABLE 162 EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY COUNTRY, 2016–2021 (USD MILLION) 196
TABLE 163 EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY COUNTRY, 2022–2027 (USD MILLION) 196
13.3.3 UK 197
TABLE 164 UK: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2016–2021 (USD MILLION) 197
TABLE 165 UK: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2022–2027 (USD MILLION) 197
13.3.4 GERMANY 197
TABLE 166 GERMANY: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2016–2021 (USD MILLION) 197
TABLE 167 GERMANY: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2022–2027 (USD MILLION) 198
13.3.5 FRANCE 198
TABLE 168 FRANCE: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2016–2021 (USD MILLION) 199
TABLE 169 FRANCE: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2022–2027 (USD MILLION) 199
13.3.6 SPAIN 199
TABLE 170 SPAIN: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2016–2021 (USD MILLION) 199
TABLE 171 SPAIN: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2022–2027 (USD MILLION) 200
13.3.7 REST OF EUROPE 200
TABLE 172 REST OF EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2016–2021 (USD MILLION) 200
TABLE 173 REST OF EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2022–2027 (USD MILLION) 200
13.4 ASIA PACIFIC 201
13.4.1 ASIA PACIFIC: MARKET DRIVERS 201
13.4.2 ASIA PACIFIC: REGULATIONS 201
13.4.2.1 Privacy Commissioner for Personal Data 201
13.4.2.2 Act on the Protection of Personal Information 202
13.4.2.3 Critical Information Infrastructure 202
13.4.2.4 International Organization for Standardization 27001 202
13.4.2.5 Personal Data Protection Act 203
FIGURE 49 ASIA PACIFIC: MARKET SNAPSHOT 204
TABLE 174 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2016–2021 (USD MILLION) 204
TABLE 175 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2022–2027 (USD MILLION) 205
TABLE 176 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING SOLUTIONS MARKET, BY TYPE, 2016–2021 (USD MILLION) 205
TABLE 177 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING SOLUTIONS MARKET, BY TYPE, 2022–2027 (USD MILLION) 205
TABLE 178 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING SERVICES MARKET, BY TYPE, 2016–2021 (USD MILLION) 205
TABLE 179 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING SERVICES MARKET, BY TYPE, 2022–2027 (USD MILLION) 206
TABLE 180 ASIA PACIFIC: PROFESSIONAL NATURAL LANGUAGE PROCESSING SERVICES MARKET, BY TYPE, 2016–2021 (USD MILLION) 206
TABLE 181 ASIA PACIFIC: PROFESSIONAL NATURAL LANGUAGE PROCESSING SERVICES MARKET, BY TYPE, 2022–2027 (USD MILLION) 206
TABLE 182 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY TYPE, 2016–2021 (USD MILLION) 206
TABLE 183 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY TYPE, 2022–2027 (USD MILLION) 207
TABLE 184 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY DEPLOYMENT MODE, 2016–2021 (USD MILLION) 207
TABLE 185 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION) 207
TABLE 186 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY ORGANIZATION SIZE, 2016–2021 (USD MILLION) 207
TABLE 187 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION) 208
TABLE 188 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION, 2016–2021 (USD MILLION) 208
TABLE 189 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION, 2022–2027 (USD MILLION) 208
TABLE 190 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY TECHNOLOGY, 2016–2021 (USD MILLION) 209
TABLE 191 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION, 2022–2027 (USD MILLION) 209
TABLE 192 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY VERTICAL, 2016–2021 (USD MILLION) 210
TABLE 193 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY VERTICAL, 2022–2027 (USD MILLION) 210
TABLE 194 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY COUNTRY/REGION, 2016–2021 (USD MILLION) 211
TABLE 195 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY COUNTRY/REGION, 2022–2027 (USD MILLION) 211
13.4.3 CHINA 211
TABLE 196 CHINA: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2016–2021 (USD MILLION) 212
TABLE 197 CHINA: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2022–2027 (USD MILLION) 212
13.4.4 JAPAN 212
TABLE 198 JAPAN: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2016–2021 (USD MILLION) 213
TABLE 199 JAPAN: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2022–2027 (USD MILLION) 213
13.4.5 INDIA 213
TABLE 200 INDIA: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2016–2021 (USD MILLION) 214
TABLE 201 INDIA: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2022–2027 (USD MILLION) 214
13.4.6 ASEAN COUNTRIES 214
TABLE 202 ASEAN COUNTRIES: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2016–2021 (USD MILLION) 215
TABLE 203 ASEAN COUNTRIES: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2022–2027 (USD MILLION) 215
13.4.7 REST OF ASIA PACIFIC 215
TABLE 204 REST OF ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2016–2021 (USD MILLION) 215
TABLE 205 REST OF ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2022–2027 (USD MILLION) 216

　

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Summary

The natural language processing (NLP) market size to grow from USD 15.7 billion in 2022 to USD 49.4 billion by 2027, at a Compound Annual Growth Rate (CAGR) of 25.7% during the forecast period. Various factors such as increasing need for predictive analytics to reduce risks and identify growth opportunities, rising demand for cloud-based NLP solutions, and advancements in big data technologies are expected to drive the adoption of NLP.
NLP leverages ML-based techniques to derive the meaningful insights from the text so that the organizations can analyze and extract information related to customers, location. Moreover, the NLP-based solutions offers organizations to recognize events to better understand customer sentiments and their conversations across social media channel. NLP-based business applications are used to derive insights from unstructured voice or audio data and deliver users the visibility to extract vital information to enhance customer experience and reduce overall operational costs.
Factors such as advancements in computer programs that analyze text, rise in need for enterprise solutions to streamline business operations for better customer experience, surging demand for cloud-based NLP solutions to reduce overall costs and enhance scalability, greater urge for predictive analytics to reduce risks and identify growth opportunities, surge in the developments of big data technology for actionable business intelligence, and increase in investments across healthcare are some of the factors driving the growth of NLP market. Organizations across the globe are dedicatedly investing in AI and ML technologies to improve user experience and stay competitive in the changing market environment.

The platform segment to register for the highest CAGR during the forecast period
Based on solutions, the NLP market is segmented into software tools and platform. The CAGR of the platform segment is estimated to be the highest during the forecast period. Platform providers in the NLP market provide users with a tool kit to create and deploy AI applications for analyzing speech and text data. NLP platforms help build document search, text summarization, and sentiment analysis. Microsoft offers Azure, which is a managed bot-building platform that uses NLP technology to offer users the ability to develop, deploy, and host a chatbot in an uncomplicated manner.
The Managed Services to record the highest CAGR during forecast period
Based on services, the NLP market is segmented into professional services and managed services. The managed services segment is expected grow at a higher CAGR during the forecast period. Managed services mainly deal with client experiences. The managed services offer specialized skills to maintain and update NLP software and services. All pre-and post-deployment questions and needs of clients are covered under the managed services. Managed Service Providers (MSPs) consist of third-party companies that manage and provide support to the IT infrastructure of NLP providers under a subscription model or Service-Level Agreement (SLA).
Asia Pacific to hold highest CAGR during the forecast period
The Asia Pacific NLP market is expected to grow at the highest CAGR during the forecast period owing to the growing industrialization in this region. Countries such as China, Japan, and India are leveraging advanced AI technologies, and NLP is one of the leading technology trends adopted across key industry verticals. IBM, Google, and AWS are the key vendors operating in the market in the region, along with several other significant NLP solutions and service providers. The adoption of AI technologies by companies across different verticals, such as BFSI, travel, hospitality, and retail, is expected to contribute to the growth of the NLP market across Asia Pacific.
Breakdown of primaries
In-depth interviews were conducted with Chief Executive Officers (CEOs), innovation and technology directors, system integrators, and executives from various key organizations operating in the NLP market.
 By Company: Tier I: 35%, Tier II: 45%, and Tier III: 20%
 By Designation: C-Level Executives: 35%, D-Level Executives: 25%, and Managers: 40%
 By Region: APAC: 25%, Europe: 30%, North America: 30%, MEA: 10%, Latin America: 5%
The report includes the study of key players offering NLP solutions and services. It profiles major vendors in the NLP market. The major players in the NLP market include IBM (US), Microsoft (US), Google (US), AWS (US), Meta (US), 3M (US), Baidu (China), Apple (US), SAS Institute (US), IQVIA (UK), Oracle (US), Inbenta (US), Health Fidelity (US), LivePerson (US), SoundHound (US), MindMeld (US), Veritone (US), Dolbey (US), Automated Insights (US), Bitext (US), Conversica (US), Addepto (US), RaGaVeRa (India), Observe.ai (US), Eigen (US), Gnani.ai (India), Crayon Data (Singapore), Narrativa (US), deepset (US), Ellipsis Health (US), and DheeYantra (US).
Research Coverage
The market study covers the NLP market across segments. It aims at estimating the market size and the growth potential of this market across different segments, such as components, type, deployment mode, organization size, application, technology, vertical, and region. It includes an in-depth competitive analysis of the key players in the market, along with their company profiles, key observations related to product and business offerings, recent developments, and key market strategies.
Key Benefits of Buying the Report
The report would provide the market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall NLP market and its subsegments. It would help stakeholders understand the competitive landscape and gain more insights better to position their business and plan suitable go-to-market strategies. It also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.



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Table of Contents

1 INTRODUCTION 46
1.1 OBJECTIVES 46
1.2 MARKET DEFINITION 46
1.2.1 INCLUSIONS AND EXCLUSIONS 47
1.3 MARKET SCOPE 48
1.3.1 MARKET SEGMENTATION 48
1.3.2 REGIONS COVERED 49
1.3.3 YEARS CONSIDERED 49
1.4 CURRENCY CONSIDERED 50
TABLE 1 USD EXCHANGE RATES, 2018–2020 50
1.5 STAKEHOLDERS 50
1.6 SUMMARY OF CHANGES 51
2 RESEARCH METHODOLOGY 52
2.1 RESEARCH DATA 52
FIGURE 1 NATURAL LANGUAGE PROCESSING MARKET: RESEARCH DESIGN 52
2.1.1 SECONDARY DATA 53
2.1.2 PRIMARY DATA 53
TABLE 2 PRIMARY INTERVIEWS 53
2.1.2.1 Breakup of primary profiles 54
2.1.2.2 Key industry insights 54
2.2 DATA TRIANGULATION 55
FIGURE 2 DATA TRIANGULATION 55
2.3 MARKET SIZE ESTIMATION 56
FIGURE 3 NLP MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES 56
2.3.1 TOP-DOWN APPROACH 56
2.3.2 BOTTOM-UP APPROACH 57
FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 1 (SUPPLY-SIDE): FLOWCHART USING REVENUE FROM NLP SOLUTIONS/SERVICES 57
FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 2, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL NLP SOLUTION/ SERVICE COMPANIES 58
FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 3, BOTTOM-UP (SUPPLY-SIDE): REVENUES OF TOP PLAYERS AND SOURCES OF DATA 59
FIGURE 7 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 4, BOTTOM-UP (DEMAND-SIDE): SHARE THROUGH OVERALL NLP SPENDING 59
2.4 MARKET FORECAST 60
TABLE 3 FACTOR ANALYSIS 60
2.5 KEY COMPANY EVALUATION MATRIX METHODOLOGY 61
FIGURE 8 COMPANY EVALUATION MATRIX: CRITERIA WEIGHTAGE 61
2.6 STARTUP/SME EVALUATION MATRIX METHODOLOGY 62
FIGURE 9 STARTUP/SME EVALUATION MATRIX: CRITERIA WEIGHTAGE 62
2.7 ASSUMPTIONS 63
2.8 LIMITATIONS 64
3 EXECUTIVE SUMMARY 65
TABLE 4 NATURAL LANGUAGE PROCESSING MARKET SIZE AND GROWTH RATE, 2016–2021 (USD MILLION, Y-O-Y) 67
TABLE 5 NATURAL LANGUAGE PROCESSING MARKET SIZE AND GROWTH RATE, 2022–2027 (USD MILLION, Y-O-Y) 67
FIGURE 10 NATURAL LANGUAGE PROCESSING SOLUTIONS TO BE A LARGER MARKET IN 2022 67
FIGURE 11 SOFTWARE TOOLS TO ACCOUNT FOR A GREATER SHARE AMONG SOLUTIONS IN 2022 68
FIGURE 12 PROFESSIONAL SERVICES TO ACCOUNT FOR A LARGER SERVICE MARKET IN 2022 68
FIGURE 13 SYSTEM INTEGRATION & IMPLEMENTATION TO ACCOUNT FOR THE LARGEST PROFESSIONAL SERVICE SHARE IN 2022 68
FIGURE 14 STATISTICAL TYPE TO ACCOUNT FOR THE LARGEST MARKET IN 2022 69
FIGURE 15 IVR TECHNOLOGY TO ACCOUNT FOR THE HIGHEST MARKET SHARE IN 2022 69
FIGURE 16 TEXT CLASSIFICATION & SUMMARIZATION TO ACCOUNT FOR THE LARGEST APPLICATION IN 2022 69
FIGURE 17 CLOUD DEPLOYMENT TO BE A LARGER MARKET IN 2022 70
FIGURE 18 LARGE ENTERPRISES TO BE A LARGER MARKET IN 2022 70
FIGURE 19 BFSI VERTICAL TO ACCOUNT FOR THE LARGEST MARKET SHARE IN 2022 70
FIGURE 20 ASIA PACIFIC TO GROW AT THE HIGHEST CAGR IN THE NATURAL LANGUAGE PROCESSING MARKET 71
4 PREMIUM INSIGHTS 72
4.1 ATTRACTIVE OPPORTUNITIES IN THE NATURAL LANGUAGE PROCESSING MARKET 72
FIGURE 21 SURGING DEMAND FOR CLOUD-BASED NLP SOLUTIONS TO REDUCE OVERALL COSTS AND ENHANCE SCALABILITY 72
4.2 NATURAL LANGUAGE PROCESSING MARKET: TOP 3 APPLICATIONS 72
FIGURE 22 EMPLOYEE ONBOARDING & RECRUITING APPLICATION TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD 72
4.3 NATURAL LANGUAGE PROCESSING MARKET: BY COMPONENT & KEY VERTICAL 73
FIGURE 23 SOLUTIONS AND BFSI VERTICAL TO ACCOUNT FOR THE LARGEST SHARES RESPECTIVELY IN 2022 73
4.4 NATURAL LANGUAGE PROCESSING MARKET: BY REGION 73
FIGURE 24 NORTH AMERICA TO ACCOUNT FOR THE LARGEST SHARE IN 2022 73
5 MARKET OVERVIEW AND INDUSTRY TRENDS 74
5.1 INTRODUCTION 74
5.2 NATURAL LANGUAGE PROCESSING: EVOLUTION 74
FIGURE 25 NATURAL LANGUAGE PROCESSING MARKET EVOLUTION 74
5.3 NATURAL LANGUAGE PROCESSING: ARCHITECTURE 75
FIGURE 26 NATURAL LANGUAGE PROCESSING MARKET ARCHITECTURE 75
5.4 MARKET DYNAMICS 76
FIGURE 27 MARKET DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES 76
5.4.1 DRIVERS 77
5.4.1.1 Advancements in computer programs that analyze text 77
5.4.1.2 Rise in need for enterprise solutions to streamline business operations for better customer experience 77
5.4.1.3 Surging demand for cloud-based NLP solutions to reduce overall costs and enhance scalability 77
5.4.1.4 Greater urge for predictive analytics to reduce risks and identify growth opportunities 77
5.4.2 RESTRAINTS 78
5.4.2.1 Lack of contextual understanding leading to ambiguity 78
5.4.2.2 Complexities due to the usage of code-mixed language while implementing NLP solutions 78
5.4.2.3 Limitations in the development of NLP technology using neural networks that may restrict the usage of cloud-based services 79
5.4.3 OPPORTUNITIES 79
5.4.3.1 Surge in the developments of big data technology for actionable business intelligence 79
5.4.3.2 Increase in investments across healthcare 79
5.4.4 CHALLENGES 80
5.4.4.1 Regulatory and privacy concerns over data security 80
5.4.4.2 Interoperability and reliability issues while deploying NLP algorithms 80
5.4.5 CUMULATIVE GROWTH ANALYSIS 81
5.5 VALUE CHAIN ANALYSIS 81
FIGURE 28 NATURAL LANGUAGE PROCESSING MARKET: VALUE CHAIN ANALYSIS 81
5.6 SUPPLY CHAIN ANALYSIS 82
FIGURE 29 NATURAL LANGUAGE PROCESSING MARKET: SUPPLY CHAIN ANALYSIS 82
TABLE 6 NATURAL LANGUAGE PROCESSING MARKET: SUPPLY CHAIN 83
5.7 CASE STUDY ANALYSIS 84
5.7.1 BANKING, FINANCIAL SERVICES, AND INSURANCE 84
5.7.1.1 Case Study 1: National Bank of Greece Transformed with SAS Viya on Azure 84
5.7.1.2 Case Study 2: HSBC implemented LivePerson’s conversational AI solutions with intelligent automation 85
5.7.2 HEALTHCARE & LIFE SCIENCES 85
5.7.2.1 Case Study 3: Value-based care at Atrius Health with Linguamatics 85
5.7.2.2 Case Study 4: Huntsman Cancer Institute optimized research with Linguamatics NLP platform 86
5.7.2.3 Case Study 5: Humana, a leading health insurance provider, reduced costly pre-service calls with conversational AI 86
5.7.3 IT & ITES 87
5.7.3.1 Case Study 6: Telenor adapts to rapidly changing customer expectations using a hybrid cloud approach 87
5.7.4 RETAIL & ECOMMERCE 88
5.7.4.1 Case Study 7: schuh stepped up customer experience with AWS 88
5.7.5 GOVERNMENT & PUBLIC SECTOR 88
5.7.5.1 Case Study 8: Smart city uses analytics and IoT to predict and manage flood events 88
5.7.6 MEDIA & ENTERTAINMENT 89
5.7.6.1 Case Study 9: The Associated Press used NLG to automate NCAA Division I men’s basketball previews during the 2018 season 89
5.7.6.2 Case Study 10: Yahoo! Sports uses NLG to produce over 70 million reports and match recaps 90
5.7.7 TRAVEL & HOSPITALITY 91
5.7.7.1 Case Study 11: SAS gives Foxwoods Resort Casino a holistic view of resort operations 91
5.8 ECOSYSTEM 92
FIGURE 30 NATURAL LANGUAGE PROCESSING MARKET: ECOSYSTEM 92
5.9 TRENDS/DISRUPTIONS IMPACTING BUYERS/CLIENTS OF THE NLP MARKET 93
FIGURE 31 NATURAL LANGUAGE PROCESSING MARKET: TRENDS/DISRUPTIONS IMPACTING BUYERS/CLIENTS 93
5.10 TECHNOLOGY ANALYSIS 93
5.10.1 ARTIFICIAL INTELLIGENCE 93
5.10.2 DEEP LEARNING 94
5.10.3 BIG DATA 94
5.10.4 BLOCKCHAIN 94
5.10.5 CYBERSECURITY 94
5.10.6 IOT 95
5.11 PATENT ANALYSIS 95
5.11.1 METHODOLOGY 95
5.11.2 DOCUMENT TYPE 95
TABLE 7 PATENTS FILED, 2018–2021 95
5.11.3 INNOVATION AND PATENT APPLICATIONS 95
FIGURE 32 ANNUAL NUMBER OF PATENTS GRANTED, 2018–2021 96
5.11.4 TOP APPLICANTS 96
FIGURE 33 TOP 10 PATENT APPLICANTS, 2019–2022 96
5.12 PORTER’S FIVE FORCES ANALYSIS 97
TABLE 8 IMPACT OF EACH FORCE ON THE NATURAL LANGUAGE PROCESSING MARKET 97
FIGURE 34 PORTER’S FIVE FORCES ANALYSIS 98
5.12.1 THREAT FROM NEW ENTRANTS 98
5.12.2 THREAT FROM SUBSTITUTES 99
5.12.3 BARGAINING POWER OF SUPPLIERS 99
5.12.4 BARGAINING POWER OF BUYERS 99
5.12.5 INTENSITY OF COMPETITIVE RIVALRY 99
5.13 REGULATORY IMPLICATIONS 100
5.13.1 GENERAL DATA PROTECTION REGULATION 100
5.13.2 HEALTH INSURANCE PORTABILITY AND ACCOUNTABILITY ACT 100
5.13.3 PAYMENT CARD INDUSTRY DATA SECURITY STANDARD 100
5.13.4 SARBANES-OXLEY ACT OF 2002 100
5.13.5 SOC 2 TYPE II COMPLIANCE 101
5.13.6 ISO/IEC 27001 101
5.13.7 THE GRAMM–LEACH–BLILEY ACT 101
5.13.8 EUROPEAN UNION DATA PROTECTION REGULATION 101
5.13.9 CAN-SPAM ACT 101
5.14 TARIFF AND REGULATORY LANDSCAPE 102
5.14.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 102
TABLE 9 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 102
TABLE 10 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 102
TABLE 11 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 103
TABLE 12 MIDDLE EAST & AFRICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 103
TABLE 13 LATIN AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 104
5.15 PRICING ANALYSIS 104
TABLE 14 AVERAGE SELLING PRICE RANGES OF SUBSCRIPTION-BASED/PAY-AS-YOU-GO NLP SERVICES 105
5.16 KEY STAKEHOLDERS & BUYING CRITERIA 105
5.16.1 KEY STAKEHOLDERS IN BUYING PROCESS 105
FIGURE 35 INFLUENCE OF STAKEHOLDERS IN BUYING PROCESS FOR TOP THREE APPLICATIONS 105
TABLE 15 INFLUENCE OF STAKEHOLDERS IN BUYING PROCESS FOR TOP THREE APPLICATIONS 106
5.16.2 BUYING CRITERIA 106
FIGURE 36 KEY BUYING CRITERIA FOR TOP THREE APPLICATIONS 106
TABLE 16 KEY BUYING CRITERIA FOR TOP THREE APPLICATIONS 106
6 NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT 107
6.1 INTRODUCTION 108
6.1.1 COMPONENT: MARKET DRIVERS 108
FIGURE 37 NATURAL LANGUAGE PROCESSING SOLUTIONS TO BE A LARGER MARKET DURING THE FORECAST PERIOD 109
TABLE 17 NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2016–2021 (USD MILLION) 109
TABLE 18 NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2022–2027 (USD MILLION) 109
6.2 SOLUTIONS 110
TABLE 19 NATURAL LANGUAGE PROCESSING SOLUTIONS MARKET, BY TYPE, 2016–2021 (USD MILLION) 110
TABLE 20 NATURAL LANGUAGE PROCESSING SOLUTIONS MARKET, BY TYPE, 2022–2027 (USD MILLION) 110
TABLE 21 NATURAL LANGUAGE PROCESSING SOLUTIONS MARKET, BY REGION, 2016–2021 (USD MILLION) 110
TABLE 22 NATURAL LANGUAGE PROCESSING SOLUTIONS MARKET, BY REGION, 2022–2027 (USD MILLION) 111
6.2.1 PLATFORMS 111
TABLE 23 NATURAL LANGUAGE PROCESSING PLATFORMS MARKET, BY REGION, 2016–2021 (USD MILLION) 111
TABLE 24 NATURAL LANGUAGE PROCESSING PLATFORMS MARKET, BY REGION, 2022–2027 (USD MILLION) 112
6.2.2 SOFTWARE TOOLS 112
TABLE 25 NATURAL LANGUAGE PROCESSING SOFTWARE TOOLS MARKET, BY REGION, 2016–2021 (USD MILLION) 112
TABLE 26 NATURAL LANGUAGE PROCESSING SOFTWARE TOOLS MARKET, BY REGION, 2022–2027 (USD MILLION) 113
6.3 SERVICES 113
FIGURE 38 MANAGED SERVICES TO RECORD HIGHER CAGR DURING FORECAST PERIOD 113
TABLE 27 NATURAL LANGUAGE PROCESSING SERVICES MARKET, BY TYPE, 2016–2021 (USD MILLION) 114
TABLE 28 NATURAL LANGUAGE PROCESSING SERVICES MARKET, BY TYPE, 2022–2027 (USD MILLION) 114
6.3.1 PROFESSIONAL SERVICES 114
FIGURE 39 TRAINING & CONSULTING SERVICES TO BE FASTEST-GROWING DURING FORECAST PERIOD 115
TABLE 29 PROFESSIONAL NATURAL LANGUAGE PROCESSING SERVICES MARKET, BY TYPE, 2016–2021 (USD MILLION) 115
TABLE 30 PROFESSIONAL NATURAL LANGUAGE PROCESSING SERVICES MARKET, BY TYPE, 2022–2027 (USD MILLION) 115
TABLE 31 PROFESSIONAL SERVICES: NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2016–2021 (USD MILLION) 116
TABLE 32 PROFESSIONAL NATURAL LANGUAGE PROCESSING SERVICES MARKET, BY REGION, 2022–2027 (USD MILLION) 116
6.3.1.1 Training & Consulting 116
TABLE 33 NATURAL LANGUAGE PROCESSING TRAINING & CONSULTING SERVICES MARKET, BY REGION, 2016–2021 (USD MILLION) 117
TABLE 34 NATURAL LANGUAGE PROCESSING TRAINING & CONSULTING SERVICES MARKET, BY REGION, 2022–2027 (USD MILLION) 117
6.3.1.2 System Integration & Implementation 117
TABLE 35 NATURAL LANGUAGE PROCESSING SYSTEM INTEGRATION & IMPLEMENTATION SERVICES MARKET, BY REGION, 2016–2021 (USD MILLION) 117
TABLE 36 NATURAL LANGUAGE PROCESSING SYSTEM INTEGRATION & IMPLEMENTATION SERVICES MARKET, BY REGION, 2022–2027 (USD MILLION) 118
6.3.1.3 Support & Maintenance 118
TABLE 37 NATURAL LANGUAGE PROCESSING SUPPORT & MAINTENANCE SERVICES MARKET, BY REGION, 2016–2021 (USD MILLION) 118
TABLE 38 NATURAL LANGUAGE PROCESSING SUPPORT & MAINTENANCE SERVICES MARKET, BY REGION, 2022–2027(USD MILLION) 119
6.3.2 MANAGED SERVICES 119
TABLE 39 MANAGED NATURAL LANGUAGE PROCESSING SERVICES MARKET, BY REGION, 2016–2021 (USD MILLION) 119
TABLE 40 MANAGED NATURAL LANGUAGE PROCESSING SERVICES MARKET, BY REGION, 2022–2027(USD MILLION) 120
7 NATURAL LANGUAGE PROCESSING MARKET, BY TYPE 121
7.1 INTRODUCTION 122
7.1.1 TYPE: MARKET DRIVERS 122
FIGURE 40 HYBRID NATURAL LANGUAGE PROCESSING TO WITNESS HIGHEST CAGR DURING FORECAST PERIOD 122
TABLE 41 NATURAL LANGUAGE PROCESSING MARKET, BY TYPE, 2016–2021 (USD MILLION) 123
TABLE 42 NATURAL LANGUAGE PROCESSING MARKET, BY TYPE, 2022–2027 (USD MILLION) 123
7.2 RULE-BASED 123
TABLE 43 RULED-BASED NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2016–2021 (USD MILLION) 123
TABLE 44 RULED-BASED NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2022–2027 (USD MILLION) 124
7.3 STATISTICAL 124
TABLE 45 STATISTICAL NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2016–2021 (USD MILLION) 124
TABLE 46 STATISTICAL NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2022–2027 (USD MILLION) 125
7.4 HYBRID 125
TABLE 47 HYBRID NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2016–2021 (USD MILLION) 125
TABLE 48 HYBRID NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2022–2027 (USD MILLION) 126
8 NATURAL LANGUAGE PROCESSING MARKET, BY DEPLOYMENT MODE 127
8.1 INTRODUCTION 128
8.1.1 DEPLOYMENT MODE: MARKET DRIVERS 128
FIGURE 41 ON-PREMISE DEPLOYMENT TO EXPERIENCE HIGHER CAGR DURING FORECAST PERIOD 128
TABLE 49 NATURAL LANGUAGE PROCESSING MARKET, BY DEPLOYMENT MODE, 2016–2021 (USD MILLION) 129
TABLE 50 NATURAL LANGUAGE PROCESSING MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION) 129
8.2 ON-PREMISES 129
TABLE 51 ON-PREMISES DEPLOYMENT MARKET, BY REGION, 2016–2021 (USD MILLION) 129
TABLE 52 ON-PREMISES DEPLOYMENT MARKET, BY REGION, 2022–2027 (USD MILLION) 130
8.3 CLOUD 130
TABLE 53 CLOUD DEPLOYMENT MARKET, BY REGION, 2016–2021 (USD MILLION) 130
TABLE 54 CLOUD DEPLOYMENT MARKET, BY REGION, 2022–2027 (USD MILLION) 131
9 NATURAL LANGUAGE PROCESSING MARKET, BY ORGANIZATION SIZE 132
9.1 INTRODUCTION 133
9.1.1 ORGANIZATION SIZE: NATURAL LANGUAGE PROCESSING MARKET DRIVERS 133
FIGURE 42 SMALL & MEDIUM-SIZED ENTERPRISES TO WITNESS HIGHER CAGR DURING FORECAST PERIOD 133
TABLE 55 NATURAL LANGUAGE PROCESSING MARKET, BY ORGANIZATION SIZE, 2016–2021 (USD MILLION) 134
TABLE 56 NATURAL LANGUAGE PROCESSING MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION) 134
9.2 SMALL & MEDIUM-SIZED ENTERPRISES 134
TABLE 57 SMALL & MEDIUM-SIZED ENTERPRISES: NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2016–2021 (USD MILLION) 135
TABLE 58 SMALL & MEDIUM-SIZED ENTERPRISES: NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2022–2027 (USD MILLION) 135
9.3 LARGE ENTERPRISES 135
TABLE 59 LARGE ENTERPRISES MARKET, BY REGION, 2016–2021 (USD MILLION) 136
TABLE 60 LARGE ENTERPRISES MARKET, BY REGION, 2022–2027(USD MILLION) 136
10 NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION 137
10.1 INTRODUCTION 138
10.1.1 APPLICATION: MARKET DRIVERS 138
FIGURE 43 EMPLOYEE ONBOARDING & RECRUITING TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD 139
TABLE 61 NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION, 2016–2021 (USD MILLION) 139
TABLE 62 NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION, 2022–2027 (USD MILLION) 140
10.2 CUSTOMER EXPERIENCE MANAGEMENT 140
TABLE 63 CUSTOMER EXPERIENCE MANAGEMENT MARKET, BY REGION, 2016–2021 (USD MILLION) 141
TABLE 64 CUSTOMER EXPERIENCE MANAGEMENT MARKET, BY REGION, 2022–2027 (USD MILLION) 141
10.3 VIRTUAL ASSISTANTS/CHATBOTS 141
TABLE 65 VIRTUAL ASSISTANTS/CHATBOTS MARKET, BY REGION, 2016–2021 (USD MILLION) 142
TABLE 66 VIRTUAL ASSISTANTS/CHATBOTS MARKET, BY REGION, 2022–2027 (USD MILLION) 142
10.4 SOCIAL MEDIA MONITORING 142
TABLE 67 SOCIAL MEDIA MONITORING MARKET, BY REGION, 2016–2021 (USD MILLION) 143
TABLE 68 SOCIAL MEDIA MONITORING MARKET, BY REGION, 2022–2027 (USD MILLION) 143
10.5 SENTIMENT ANALYSIS 143
TABLE 69 SENTIMENT ANALYSIS MARKET, BY REGION, 2016–2021 (USD MILLION) 144
TABLE 70 SENTIMENT ANALYSIS MARKET, BY REGION, 2022–2027 (USD MILLION) 144
10.6 TEXT CLASSIFICATION & SUMMARIZATION 144
TABLE 71 TEXT CLASSIFICATION & SUMMARIZATION MARKET, BY REGION, 2016–2021 (USD MILLION) 145
TABLE 72 TEXT CLASSIFICATION & SUMMARIZATION MARKET, BY REGION, 2022–2027 (USD MILLION) 145
10.7 EMPLOYEE ONBOARDING & RECRUITING 145
TABLE 73 EMPLOYEE ONBOARDING & RECRUITING MARKET, BY REGION, 2016–2021 (USD MILLION) 146
TABLE 74 EMPLOYEE ONBOARDING & RECRUITING MARKET, BY REGION, 2022–2027 (USD MILLION) 146
10.8 OTHER APPLICATIONS 146
TABLE 75 OTHER APPLICATIONS MARKET, BY REGION, 2016–2021 (USD MILLION) 147
TABLE 76 OTHER APPLICATIONS MARKET, BY REGION, 2022–2027 (USD MILLION) 147
11 NATURAL LANGUAGE PROCESSING MARKET, BY TECHNOLOGY 148
11.1 INTRODUCTION 149
11.1.1 TECHNOLOGY: MARKET DRIVERS 149
FIGURE 44 IMAGE & PATTERN RECOGNITION SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 149
TABLE 77 NATURAL LANGUAGE PROCESSING MARKET, BY TECHNOLOGY, 2016–2021 (USD MILLION) 150
TABLE 78 NATURAL LANGUAGE PROCESSING MARKET, BY TECHNOLOGY, 2022–2027 (USD MILLION) 150
11.2 OPTICAL CHARACTER RECOGNITION 150
TABLE 79 OPTICAL CHARACTER RECOGNITION MARKET, BY REGION, 2016–2021 (USD MILLION) 151
TABLE 80 OPTICAL CHARACTER RECOGNITION MARKET, BY REGION, 2022–2027 (USD MILLION) 151
11.3 INTERACTIVE VOICE RESPONSE 151
TABLE 81 INTERACTIVE VOICE RESPONSE MARKET, BY REGION, 2016–2021 (USD MILLION) 152
TABLE 82 INTERACTIVE VOICE RESPONSE MARKET, BY REGION, 2022–2027 (USD MILLION) 152
11.4 AUTO CODING 152
TABLE 83 AUTO CODING MARKET, BY REGION, 2016–2021 (USD MILLION) 153
TABLE 84 AUTO CODING MARKET, BY REGION, 2022–2027 (USD MILLION) 153
11.5 TEXT ANALYTICS 153
TABLE 85 TEXT ANALYTICS MARKET, BY REGION, 2016–2021 (USD MILLION) 154
TABLE 86 TEXT ANALYTICS MARKET, BY REGION, 2022–2027 (USD MILLION) 154
11.6 SPEECH ANALYTICS 154
TABLE 87 SPEECH ANALYTICS MARKET, BY REGION, 2016–2021 (USD MILLION) 155
TABLE 88 SPEECH ANALYTICS MARKET, BY REGION, 2022–2027 (USD MILLION) 155
11.7 IMAGE & PATTERN RECOGNITION 155
TABLE 89 IMAGE & PATTERN RECOGNITION MARKET, BY REGION, 2016–2021 (USD MILLION) 156
TABLE 90 IMAGE & PATTERN RECOGNITION MARKET, BY REGION, 2022–2027 (USD MILLION) 156
11.8 SIMULATION & MODELING 156
TABLE 91 SIMULATION & MODELING MARKET, BY REGION, 2016–2021 (USD MILLION) 157
TABLE 92 SIMULATION & MODELING MARKET, BY REGION, 2022–2027 (USD MILLION) 157
12 NATURAL LANGUAGE PROCESSING MARKET, BY VERTICAL 158
12.1 INTRODUCTION 159
12.1.1 VERTICAL: NATURAL LANGUAGE PROCESSING MARKET DRIVERS 159
TABLE 93 MAJOR USE CASES, BY VERTICAL 160
FIGURE 45 HEALTHCARE & LIFE SCIENCES VERTICAL TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD 161
TABLE 94 NATURAL LANGUAGE PROCESSING MARKET, BY VERTICAL, 2016–2021 (USD MILLION) 162
TABLE 95 NATURAL LANGUAGE PROCESSING MARKET, BY VERTICAL, 2022–2027 (USD MILLION) 162
12.2 BANKING, FINANCIAL SERVICES, AND INSURANCE 163
TABLE 96 BANKING, FINANCIAL SERVICES, AND INSURANCE VERTICAL MARKET, BY REGION, 2016–2021 (USD MILLION) 163
TABLE 97 BANKING, FINANCIAL SERVICES, AND INSURANCE VERTICAL MARKET, BY REGION, 2022–2027 (USD MILLION) 163
12.3 IT & ITES 164
TABLE 98 IT & ITES VERTICAL MARKET, BY REGION, 2016–2021 (USD MILLION) 164
TABLE 99 IT & ITES VERTICAL MARKET, BY REGION, 2022–2027 (USD MILLION) 164
12.4 RETAIL & ECOMMERCE 165
TABLE 100 RETAIL & ECOMMERCE VERTICAL MARKET, BY REGION, 2016–2021 (USD MILLION) 165
TABLE 101 RETAIL & ECOMMERCE VERTICALS MARKET, BY REGION, 2022–2027 (USD MILLION) 165
12.5 HEALTHCARE & LIFE SCIENCES 166
TABLE 102 HEALTHCARE & LIFE SCIENCES VERTICAL MARKET, BY REGION, 2016–2021 (USD MILLION) 166
TABLE 103 HEALTHCARE & LIFE SCIENCES VERTICAL MARKET, BY REGION, 2022–2027 (USD MILLION) 166
12.6 TRANSPORTATION & LOGISTICS 167
TABLE 104 TRANSPORTATION & LOGISTICS VERTICAL MARKET, BY REGION, 2016–2021 (USD MILLION) 167
TABLE 105 TRANSPORTATION & LOGISTICS VERTICAL MARKET, BY REGION, 2022–2027 (USD MILLION) 167
12.7 GOVERNMENT & PUBLIC SECTOR 168
TABLE 106 GOVERNMENT & PUBLIC SECTOR VERTICAL MARKET, BY REGION, 2016–2021 (USD MILLION) 168
TABLE 107 GOVERNMENT & PUBLIC SECTOR VERTICAL MARKET, BY REGION, 2022–2027 (USD MILLION) 168
12.8 MEDIA & ENTERTAINMENT 169
TABLE 108 MEDIA & ENTERTAINMENT VERTICAL MARKET, BY REGION, 2016–2021 (USD MILLION) 169
TABLE 109 MEDIA & ENTERTAINMENT VERTICAL MARKET, BY REGION, 2022–2027 (USD MILLION) 169
12.9 MANUFACTURING 170
TABLE 110 MANUFACTURING VERTICAL MARKET, BY REGION, 2016–2021 (USD MILLION) 170
TABLE 111 MANUFACTURING VERTICAL MARKET, BY REGION, 2022–2027 (USD MILLION) 170
12.10 OTHER VERTICALS 171
TABLE 112 OTHER VERTICALS MARKET, BY REGION, 2016–2021 (USD MILLION) 171
TABLE 113 OTHER VERTICALS MARKET, BY REGION, 2022–2027 (USD MILLION) 171
13 NATURAL LANGUAGE PROCESSING MARKET, BY REGION 172
13.1 INTRODUCTION 173
FIGURE 46 NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2022 VS. 2027 (USD MILLION) 173
FIGURE 47 INDIA TO BE FASTEST-GROWING DURING FORECAST PERIOD 174
TABLE 114 NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2016–2021 (USD MILLION) 174
TABLE 115 NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2022–2027 (USD MILLION) 174
13.2 NORTH AMERICA 175
13.2.1 NORTH AMERICA: MARKET DRIVERS 175
13.2.2 NORTH AMERICA: REGULATIONS 176
13.2.2.1 Personal Information Protection and Electronic Documents Act (PIPEDA) 176
13.2.2.2 Gramm–Leach–Bliley Act 176
13.2.2.3 Federal Information Security Management Act 176
13.2.2.4 Health Insurance Portability and Accountability Act of 1996 176
13.2.2.5 Health Level Seven (HL7) 177
13.2.2.6 Occupational Safety and Health Administration (OSHA) 177
13.2.2.7 California Consumer Privacy Act 177
FIGURE 48 NORTH AMERICA: MARKET SNAPSHOT 178
TABLE 116 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2016–2021 (USD MILLION) 178
TABLE 117 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2022–2027 (USD MILLION) 179
TABLE 118 NORTH AMERICA: NATURAL LANGUAGE PROCESSING SOLUTIONS MARKET, BY TYPE, 2016–2021 (USD MILLION) 179
TABLE 119 NORTH AMERICA: NATURAL LANGUAGE PROCESSING SOLUTIONS MARKET, BY TYPE, 2022–2027 (USD MILLION) 179
TABLE 120 NORTH AMERICA: NATURAL LANGUAGE PROCESSING SERVICES MARKET, BY TYPE, 2016–2021 (USD MILLION) 179
TABLE 121 NORTH AMERICA: NATURAL LANGUAGE PROCESSING SERVICES MARKET, BY TYPE, 2022–2027 (USD MILLION) 180
TABLE 122 NORTH AMERICA: PROFESSIONAL NATURAL LANGUAGE PROCESSING SERVICES MARKET, BY TYPE, 2016–2021 (USD MILLION) 180
TABLE 123 NORTH AMERICA: PROFESSIONAL NATURAL LANGUAGE PROCESSING SERVICES MARKET, BY TYPE, 2022–2027 (USD MILLION) 180
TABLE 124 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY TYPE, 2016–2021 (USD MILLION) 181
TABLE 125 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY TYPE, 2022–2027 (USD MILLION) 181
TABLE 126 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY DEPLOYMENT MODE, 2016–2021 (USD MILLION) 181
TABLE 127 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION) 181
TABLE 128 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY ORGANIZATION SIZE, 2016–2021 (USD MILLION) 182
TABLE 129 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION) 182
TABLE 130 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION, 2016–2021 (USD MILLION) 182
TABLE 131 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION, 2022–2027 (USD MILLION) 183
TABLE 132 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY TECHNOLOGY, 2016–2021 (USD MILLION) 183
TABLE 133 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION, 2022–2027 (USD MILLION) 184
TABLE 134 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY VERTICAL, 2016–2021 (USD MILLION) 184
TABLE 135 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY VERTICAL, 2022–2027 (USD MILLION) 185
TABLE 136 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY COUNTRY, 2016–2021 (USD MILLION) 185
TABLE 137 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY COUNTRY, 2022–2027 (USD MILLION) 185
13.2.3 US 186
TABLE 138 US: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2016–2021 (USD MILLION) 186
TABLE 139 US: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2022–2027 (USD MILLION) 186
13.2.4 CANADA 187
TABLE 140 CANADA: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2016–2021 (USD MILLION) 187
TABLE 141 CANADA: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2022–2027 (USD MILLION) 187
13.3 EUROPE 188
13.3.1 EUROPE: MARKET DRIVERS 188
13.3.2 EUROPE: REGULATIONS 189
13.3.2.1 European Market Infrastructure Regulation 189
13.3.2.2 General Data Protection Regulation 189
13.3.2.3 European Committee for Standardization 189
13.3.2.4 European Technical Standards Institute 189
TABLE 142 EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2016–2021 (USD MILLION) 189
TABLE 143 EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2022–2027 (USD MILLION) 190
TABLE 144 EUROPE: NATURAL LANGUAGE PROCESSING SOLUTIONS MARKET, BY TYPE, 2016–2021 (USD MILLION) 190
TABLE 145 EUROPE: NATURAL LANGUAGE PROCESSING SOLUTIONS MARKET, BY TYPE, 2022–2027 (USD MILLION) 190
TABLE 146 EUROPE: NATURAL LANGUAGE PROCESSING SERVICES MARKET, BY TYPE, 2016–2021 (USD MILLION) 190
TABLE 147 EUROPE: NATURAL LANGUAGE PROCESSING SERVICES MARKET, BY TYPE, 2022–2027 (USD MILLION) 191
TABLE 148 EUROPE: PROFESSIONAL NATURAL LANGUAGE PROCESSING SERVICES MARKET, BY TYPE, 2016–2021 (USD MILLION) 191
TABLE 149 EUROPE: PROFESSIONAL NATURAL LANGUAGE PROCESSING SERVICES MARKET, BY TYPE, 2022–2027 (USD MILLION) 191
TABLE 150 EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY TYPE, 2016–2021 (USD MILLION) 192
TABLE 151 EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY TYPE, 2022–2027 (USD MILLION) 192
TABLE 152 EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY DEPLOYMENT MODE, 2016–2021 (USD MILLION) 192
TABLE 153 EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION) 192
TABLE 154 EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY ORGANIZATION SIZE, 2016–2021 (USD MILLION) 193
TABLE 155 EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION) 193
TABLE 156 EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION, 2016–2021 (USD MILLION) 193
TABLE 157 EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION, 2022–2027 (USD MILLION) 194
TABLE 158 EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY TECHNOLOGY, 2016–2021 (USD MILLION) 194
TABLE 159 EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION, 2022–2027 (USD MILLION) 195
TABLE 160 EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY VERTICAL, 2016–2021 (USD MILLION) 195
TABLE 161 EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY VERTICAL, 2022–2027 (USD MILLION) 196
TABLE 162 EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY COUNTRY, 2016–2021 (USD MILLION) 196
TABLE 163 EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY COUNTRY, 2022–2027 (USD MILLION) 196
13.3.3 UK 197
TABLE 164 UK: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2016–2021 (USD MILLION) 197
TABLE 165 UK: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2022–2027 (USD MILLION) 197
13.3.4 GERMANY 197
TABLE 166 GERMANY: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2016–2021 (USD MILLION) 197
TABLE 167 GERMANY: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2022–2027 (USD MILLION) 198
13.3.5 FRANCE 198
TABLE 168 FRANCE: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2016–2021 (USD MILLION) 199
TABLE 169 FRANCE: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2022–2027 (USD MILLION) 199
13.3.6 SPAIN 199
TABLE 170 SPAIN: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2016–2021 (USD MILLION) 199
TABLE 171 SPAIN: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2022–2027 (USD MILLION) 200
13.3.7 REST OF EUROPE 200
TABLE 172 REST OF EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2016–2021 (USD MILLION) 200
TABLE 173 REST OF EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2022–2027 (USD MILLION) 200
13.4 ASIA PACIFIC 201
13.4.1 ASIA PACIFIC: MARKET DRIVERS 201
13.4.2 ASIA PACIFIC: REGULATIONS 201
13.4.2.1 Privacy Commissioner for Personal Data 201
13.4.2.2 Act on the Protection of Personal Information 202
13.4.2.3 Critical Information Infrastructure 202
13.4.2.4 International Organization for Standardization 27001 202
13.4.2.5 Personal Data Protection Act 203
FIGURE 49 ASIA PACIFIC: MARKET SNAPSHOT 204
TABLE 174 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2016–2021 (USD MILLION) 204
TABLE 175 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2022–2027 (USD MILLION) 205
TABLE 176 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING SOLUTIONS MARKET, BY TYPE, 2016–2021 (USD MILLION) 205
TABLE 177 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING SOLUTIONS MARKET, BY TYPE, 2022–2027 (USD MILLION) 205
TABLE 178 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING SERVICES MARKET, BY TYPE, 2016–2021 (USD MILLION) 205
TABLE 179 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING SERVICES MARKET, BY TYPE, 2022–2027 (USD MILLION) 206
TABLE 180 ASIA PACIFIC: PROFESSIONAL NATURAL LANGUAGE PROCESSING SERVICES MARKET, BY TYPE, 2016–2021 (USD MILLION) 206
TABLE 181 ASIA PACIFIC: PROFESSIONAL NATURAL LANGUAGE PROCESSING SERVICES MARKET, BY TYPE, 2022–2027 (USD MILLION) 206
TABLE 182 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY TYPE, 2016–2021 (USD MILLION) 206
TABLE 183 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY TYPE, 2022–2027 (USD MILLION) 207
TABLE 184 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY DEPLOYMENT MODE, 2016–2021 (USD MILLION) 207
TABLE 185 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION) 207
TABLE 186 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY ORGANIZATION SIZE, 2016–2021 (USD MILLION) 207
TABLE 187 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION) 208
TABLE 188 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION, 2016–2021 (USD MILLION) 208
TABLE 189 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION, 2022–2027 (USD MILLION) 208
TABLE 190 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY TECHNOLOGY, 2016–2021 (USD MILLION) 209
TABLE 191 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION, 2022–2027 (USD MILLION) 209
TABLE 192 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY VERTICAL, 2016–2021 (USD MILLION) 210
TABLE 193 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY VERTICAL, 2022–2027 (USD MILLION) 210
TABLE 194 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY COUNTRY/REGION, 2016–2021 (USD MILLION) 211
TABLE 195 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY COUNTRY/REGION, 2022–2027 (USD MILLION) 211
13.4.3 CHINA 211
TABLE 196 CHINA: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2016–2021 (USD MILLION) 212
TABLE 197 CHINA: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2022–2027 (USD MILLION) 212
13.4.4 JAPAN 212
TABLE 198 JAPAN: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2016–2021 (USD MILLION) 213
TABLE 199 JAPAN: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2022–2027 (USD MILLION) 213
13.4.5 INDIA 213
TABLE 200 INDIA: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2016–2021 (USD MILLION) 214
TABLE 201 INDIA: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2022–2027 (USD MILLION) 214
13.4.6 ASEAN COUNTRIES 214
TABLE 202 ASEAN COUNTRIES: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2016–2021 (USD MILLION) 215
TABLE 203 ASEAN COUNTRIES: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2022–2027 (USD MILLION) 215
13.4.7 REST OF ASIA PACIFIC 215
TABLE 204 REST OF ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2016–2021 (USD MILLION) 215
TABLE 205 REST OF ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2022–2027 (USD MILLION) 216

　

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